ERROR ANALYSIS USING FUZZY ARITHMETIC BASED ON T-NORM

Michal K. Urbanski, Adam Bzowski

Abstract

The presented algorithm for uncertainty evaluation has three steps: determining the membership function from series of measurements, evaluation of membership function of average value using fuzzy arithmetic based on a t-norm, and addition of systematic errors (based on expert analysis). The parameters of the t-norm are determined by a minimization procedure for a proposed error function.

Keywords

uncertainty, fuzzy intervals, t-norm

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IMEKO-TC1-TC7-2008-013.pdf

DOI

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IMEKO TC

TC1 - Education and Training in Measurement and Instrumentation

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